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Network Optimization on Partitioned Pairs of Points

Authors Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Su Jia, Matthew J. Katz, Tyler Mayer, Joseph S. B. Mitchell

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Keywords
  • Network Optimization
  • TSP tour
  • Matching
  • Spanning Tree
  • Pairs
  • Partition
  • Algorithms
  • Complexity

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Abstract

Given n pairs of points, S = {{p_1, q_1}, {p_2, q_2}, ..., {p_n, q_n}}, in some metric space, we study the problem of two-coloring the points within each pair, red and blue, to optimize the cost of a pair of node-disjoint networks, one over the red points and one over the blue points. In this paper we consider our network structures to be spanning trees, traveling salesman tours or matchings. We consider several different weight functions computed over the network structures induced, as well as several different objective functions. We show that some of these problems are NP-hard, and  provide constant factor approximation algorithms in all cases.

Cite As Get BibTex

Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Su Jia, Matthew J. Katz, Tyler Mayer, and Joseph S. B. Mitchell. Network Optimization on Partitioned Pairs of Points. In 28th International Symposium on Algorithms and Computation (ISAAC 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 92, pp. 6:1-6:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017) https://doi.org/10.4230/LIPIcs.ISAAC.2017.6

Author Details

Esther M. Arkin
Aritra Banik
Paz Carmi
Gui Citovsky
Su Jia
Matthew J. Katz
Tyler Mayer
Joseph S. B. Mitchell

References

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